But once the team decided to build its own application , they faced another decision : which database would be cost-effective and easy to scale , while also providing the sub-second query speed users expected Ultimately , Paytm chose Apache Druid for its flexible , distributed architecture and always-on operability .

“ We realized we needed to build a solution that would meet our current requirements and allow us to scale ,” explained Ravi Maurya , Technical Lead at Paytm . “ We chose Druid because it ’ s open source , which enabled us to start building quickly , but also provided the performance , flexibility and ease of development we were looking for .”

We chose Druid because it ’ s open source , which enabled us to start building quickly .

performance . At first , this was enough to power the interactive experience Paytm ’ s Growth team needed to better understand customer trends . With sub-second , ad hoc queries , members from the Growth Team were able to have live conversations with their data .

After deploying Druid in a self-hosted AWS environment , the team saw an immediate improvement in query

However , as Paytm ’ s customer base expanded , so did user interactions across its various apps – which

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